Title :
Region Water Resources Optimal Allocation Based on Multi-Objective Genetic Algorithm
Author :
Feng Kepeng ; Tian Juncang
Author_Institution :
Coll. of Civil & Hydraulic Eng., Ningxia Univ., Yinchuan, China
Abstract :
In this paper, multi-objective genetic algorithm applied to the regional water resources optimal allocation, through definition of economy, population, water resources and environment three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model. The model gets different results for 50% and 75% of optimal allocation of water resources of Ningxia in 2030. The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.
Keywords :
economics; environmental factors; genetic algorithms; water resources; economy; environment; multiobjective genetic algorithm; population; region water resource optimal allocation; Cities and towns; Genetic algorithms; Industries; Resource management; Sociology; Statistics; Water resources; Genetic Algorithm; Multi-Objective; Optimal Allocation; Water resources;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.259
